Schlichtig, Michael, et al. “Introducing FUM: A Framework for API Usage Constraint and Misuse Classification.” Software Engineering 2023, Gesellschaft für Informatik e.V., 2023, pp. 105–106.

Kersting, Joschka, et al. “Towards Comparable Ratings: Exploring Bias in German Physician Reviews.”10.1016/j.datak.2023.102235__Data &; Knowledge Engineering, vol. 148, 102235, Elsevier, 2023, doi:10.1016/j.datak.2023.102235.

Schlichtig, Michael, et al. “FUM - A Framework for API Usage Constraint and Misuse Classification.”https://doi.org/10.1109/SANER53432.2022.00085__2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022, pp. 673–84, doi:https://doi.org/10.1109/SANER53432.2022.00085.

Clever, Lena, et al. “Process-Oriented Stream Classification Pipeline: A Literature Review.”10.3390/app12189094__Applied Sciences, vol. 12, no. 18, Multidisciplinary Digital Publishing Institute, 2022, p. 9094, doi:10.3390/app12189094.

Wever, Marcel Dominik, et al. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.”10.1109/tpami.2021.3051276__IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, pp. 1–1, doi:10.1109/tpami.2021.3051276.

Prester, Julian, et al. “Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach.” Decision Support Systems, vol. 140, no. January, 113432, 2021.

Müller, Oliver, et al. “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data.” 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021).

Aimiyekagbon, Osarenren Kennedy, et al. “Rule-Based Diagnostics of a Production Line.”10.36001/phme.2021.v6i1.3042__Proceedings of the European Conference of the PHM Society 2021, edited by Phuc Do et al., vol. 6, no. 1, 2021, pp. 527–36, doi:10.36001/phme.2021.v6i1.3042.

Wever, Marcel Dominik, et al. “Ensembles of Evolved Nested Dichotomies for Classification.”10.1145/3205455.3205562__Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018, ACM, 2018, doi:10.1145/3205455.3205562.

Schryen, Guido, et al. “Development of Two Novel Face-Recognition CAPTCHAs: A Security and Usability Study.” Computers &; Security, vol. 60, no. July, Elsevier, 2016, pp. 95–116.